Assessing the resources and mitigation potential of European forests

Hubert Hasenauer, Mathias Neumann, Adam Moreno, Steve Running

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

National and international carbon reporting systems require information on forest carbon stocks. This information can be derived from national forest inventory data and remote sensing. Here we present the conceptual challenges in assessing forest resources across Europe by combining MODIS satellite versus terrestrial driven NPP estimates calculated from 13 national forest inventory (NFI) data covering 200.000 sampling plots. The results suggest that MODIS NPP predictions using local daily climate data and addressing stand desnsity effects, provide realistic forest productivity estimates. Ignoring these effects leads to an overestimation in the estimated carbon storage of European forests derived from satellite data.

Original languageEnglish
Pages (from-to)372-378
Number of pages7
JournalEnergy Procedia
Volume125
DOIs
StatePublished - 2017
EventEuropean Geosciences Union General Assembly 2017: Energy, Resources and the Environment (ERE): Meeting the Challenges of the Future - Vienna, Austria
Duration: Apr 23 2017Apr 28 2017

Funding

This work was conducted as part of the project “FORest management strategies to enhance the MITigation potential of European forests” (FORMIT). The research leading to these results has received funding from the European Union Seventh Framework Program under grant agreement n° 311970. We are grateful to the national forest research stations from Estonia, Finland, Sweden, Norway, Austria, Belgium (region Flanders), France, Germany, Czech Republic, Poland, Romania, Italy and Spain for providing the forest inventory data for our analysis. We thank the two anonymous revisers and the editor of this special issue, Prof.Dr. Michael Kühn, for helpful comments.

Funder number
311970

    Keywords

    • MOD17
    • MODIS
    • NFI
    • NPP
    • bioeconomy
    • biomass
    • carbon
    • forest inventory
    • remote sensing
    • satellite
    • volume

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